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KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
April 16, 2024, 4:51 a.m. | Avinash Anand, Mohit Gupta, Kritarth Prasad, Ujjwal Goel, Naman Lal, Astha Verma, Rajiv Ratn Shah
cs.CL updates on arXiv.org arxiv.org
Abstract: Citation Text Generation (CTG) is a task in natural language processing (NLP) that aims to produce text that accurately cites or references a cited document within a source document. In CTG, the generated text draws upon contextual cues from both the source document and the cited paper, ensuring accurate and relevant citation information is provided. Previous work in the field of citation generation is mainly based on the text summarization of documents. Following this, this …
abstract arxiv cs.ai cs.cl document generated graph knowledge knowledge graph language language models language processing large language large language models natural natural language natural language processing nlp processing text text generation through type
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